Download [ebook] Python Data Science Handbook: Tools and Techniques for Developers Full
                      
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Book Description
 
For many researchers, Python is a first-class tool mainly because of its libraries for storing,
manipulating, and gaining insight from data. Several resources exist for individual pieces of this
data science stack, but only with the Python Data Science Handbook do you get them
all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools.Working scientists
and data crunchers familiar with reading and writing Python code will find this comprehensive desk
reference ideal for tackling day-to-day issues: manipulating, transforming, and cleaning data;
visualizing different types of data; and using data to build statistical or machine learning models.
Quite simply, this is the must-have reference for scientific computing in Python.With this
handbook, you’ll learn how to use: * IPython and Jupyter: provide computational environments for
data scientists using Python * NumPy: includes the ndarray for efficient storage and manipulation
of dense data arrays in Python * Pandas: features the DataFrame for efficient storage and
manipulation of labeled/columnar data in Python * Matplotlib: includes capabilities for a flexible
range of data visualizations in Python * Scikit-Learn: for efficient and clean Python
implementations of the most important and established machine learning algorithms
 
 
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